Email: [email protected]

Website: http://www.ivanyiphd.com

LinkedIn: www.linkedin.com/in/ivanyitamas

Place and date of birth: 9 January 1989, Mexico City.

MTMT: https://m2.mtmt.hu/gui2/?type=authors&mode=browse&sel=10056597

Studies

• Doctoral School of Business and Management - Marketing Programme (Degree awarded 23 February 2023)

  Budapest University of Technology and Economics

  Faculty of Economics and Social Sciences

  Subject areas: tourism marketing, event marketing, online technologies, consumer behaviour, marketing research

• Technical Manager MSc - Management Module - Marketing Specialisation (2016, with excellent degree)

  Budapest University of Technology and Economics

  Faculty of Economics and Social Sciences

• • BSc in Transportation Engineering - specialisation in Automotive Engineering (2014, with excellent degree)**

    Budapest University of Technology and Economics

    Faculty of Transport Engineering and Automotive Engineering

• Fazekas Mihály Municipal Primary and Secondary School (2003-2007)

  In 2007 I was an OKTV finalist in three subjects: mathematics, computer science and Hungarian language

Work experience

• ** Assistant professor* (from July 2023)**

  Budapest University of Technology and Economics

  Faculty of Economics and Social Sciences - Department of Management and Business Economics

  Teaching subjects related to marketing and innovative business start-ups, preparation of teaching materials, consultation of students' theses and project assignments.

• Assistant lecturer (May 2018 - June 2023)

  Budapest University of Technology and Economics

  Faculty of Economics and Social Sciences - Department of Management and Business Economics

  Responsibilities.

• Lecturer (academic year 2023-2024)

  Budapest Business University

  Faculty of Foreign Trade - Department of Marketing

  Responsibilities.

Research areas

Consumer aspects of tourism marketing, cultural marketing and experience marketing - the relationship between consumer awareness and the experience-seeking customer

• **Digital and online marketing solutions and their technological background ***, in particular in the field of tourism and sustainable urban development and smart city solutions

Application of modern quantitative research methods in marketing (PLS-SEM, machine learning)

Artificial intelligence tools in digital marketing, possibilities for adapting machine learning, including research ethics and sustainability issues

Scientific activities, results